MétaCan
ENFR
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

Export CSVExport JSONAPI query

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Science China Information Sciences
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

63 results · 1 filter active ·
Results by year
20102025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
63 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 63 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 63 of 63 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Special focus on machine-type communications
Xiaofeng Tao, Ping Zhang, Victor C. M. Leung, Songwu Lu, Yu Chen
2017· article· en· Science China Information Sciences· Engineering
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
23
citations
affno abstractunlabeled
Automated Android application permission recommendation
Lingfeng Bao, David Lo, Xin Xia, Shanping Li
2017· article· en· Science China Information Sciences· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · scholarly_communication
19
citations
affno abstractunlabeled
Time and energy efficient data collection via UAV
Tianhao Wang, Xiaowei Pang, Jie Tang, Nan Zhao, Xiu Yin Zhang, Xianbin Wang
2022· article· en· Science China Information Sciences· Engineering
distilled prediction:candidate · stsconsensus · none
16
citations
affno abstractunlabeled
Large multimodal models evaluation: a survey
Zicheng Zhang, Junying Wang, Farong Wen, Yijin Guo, Xiangyu Zhao, Xinyu Fang +38 more
2025· article· en· Science China Information Sciences· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
10
citations
affno abstractunlabeled
A cost-sharing method for the multi-level economic lot-sizing game
Gai-di Li, Donglei Du, Dachuan Xu, RuYao Zhang
2012· article· en· Science China Information Sciences· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+insufficient_payloadconsensus · none
9
citations
affno abstractunlabeled
Toward actionable testing of deep learning models
Yingfei Xiong, Yongqiang Tian, Yepang Liu, Shing-Chi Cheung
2023· article· en· Science China Information Sciences· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
4
citations
next →

How this was built: Screen · Findings · About